{"id":"https://openalex.org/W4288391523","doi":"https://doi.org/10.1109/tnnls.2022.3193564","title":"Dynamic Co-Embedding Model for Temporal Attributed Networks","display_name":"Dynamic Co-Embedding Model for Temporal Attributed Networks","publication_year":2022,"publication_date":"2022-07-28","ids":{"openalex":"https://openalex.org/W4288391523","doi":"https://doi.org/10.1109/tnnls.2022.3193564","pmid":"https://pubmed.ncbi.nlm.nih.gov/35900994"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3193564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3193564","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070308834","display_name":"Shaowei Tang","orcid":"https://orcid.org/0000-0002-3991-7559"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210092257","display_name":"China Guangzhou Analysis and Testing Center","ror":"https://ror.org/00d6bjs95","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210092257"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowei Tang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3991-7559","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China","institution_ids":["https://openalex.org/I4210092257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073342482","display_name":"Zaiqiao Meng","orcid":"https://orcid.org/0000-0001-5374-0318"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zaiqiao Meng","raw_affiliation_strings":["School of Computing Science, University of Glasgow, Glasgow, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5374-0318","affiliations":[{"raw_affiliation_string":"School of Computing Science, University of Glasgow, Glasgow, U.K","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060335069","display_name":"Shangsong Liang","orcid":"https://orcid.org/0000-0003-1625-2168"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210092257","display_name":"China Guangzhou Analysis and Testing Center","ror":"https://ror.org/00d6bjs95","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210092257"]},{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE","CN"],"is_corresponding":false,"raw_author_name":"Shangsong Liang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates","Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1625-2168","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]},{"raw_affiliation_string":"Department of Machine Learning, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]},{"raw_affiliation_string":"Guangdong Key Laboratory of Big Data Analysis and Processing, Guangzhou, China","institution_ids":["https://openalex.org/I4210092257"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1218,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.76322343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"3","first_page":"3488","last_page":"3502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5946418046951294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5554634928703308},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21730786561965942}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5946418046951294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5554634928703308},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21730786561965942}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2022.3193564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3193564","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35900994","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35900994","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:eprints.gla.ac.uk:274878","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Articles"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:274878","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Articles"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6683119136","display_name":null,"funder_award_id":"61906219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2102343050","https://openalex.org/W2107933610","https://openalex.org/W2153959628","https://openalex.org/W2154851992","https://openalex.org/W2294347342","https://openalex.org/W2393319904","https://openalex.org/W2604942799","https://openalex.org/W2613171001","https://openalex.org/W2622489478","https://openalex.org/W2623187518","https://openalex.org/W2743418339","https://openalex.org/W2755088640","https://openalex.org/W2782822144","https://openalex.org/W2783673162","https://openalex.org/W2787927827","https://openalex.org/W2788036042","https://openalex.org/W2798405286","https://openalex.org/W2798918712","https://openalex.org/W2808466528","https://openalex.org/W2808858103","https://openalex.org/W2808908091","https://openalex.org/W2908461307","https://openalex.org/W2962756421","https://openalex.org/W2963780471","https://openalex.org/W3101767658","https://openalex.org/W3103254545","https://openalex.org/W3104097132","https://openalex.org/W3111962319","https://openalex.org/W3216761404","https://openalex.org/W4200261358","https://openalex.org/W4246941204","https://openalex.org/W4283798830","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6675223550","https://openalex.org/W6679848749","https://openalex.org/W6682691769","https://openalex.org/W6690230747","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6738964360","https://openalex.org/W6739733045","https://openalex.org/W6741954564","https://openalex.org/W6743300111","https://openalex.org/W6744271739","https://openalex.org/W6752110724","https://openalex.org/W6757831817","https://openalex.org/W6761150088","https://openalex.org/W6767624624","https://openalex.org/W6769378635","https://openalex.org/W6770147432","https://openalex.org/W6771247989","https://openalex.org/W6803870160"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2081900870","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3,83],"study":[4],"the":[5,13,36,45,58,85,96,104,113,118,121,131,164,169,175,182,214],"problem":[6],"of":[7,15,61,106,120,125,137,163],"embedding":[8,32],"temporal":[9,26,30,76,90,108,134,165],"attributed":[10,27,77,91,109,166],"networks,":[11],"with":[12,213],"goal":[14],"which":[16,40],"is":[17,144],"to":[18,43,70,146],"learn":[19,35,57,147],"dynamic":[20,46,73,86,97,208,218],"low-dimensional":[21],"representations":[22,37],"over":[23],"time":[24,127,140,161],"for":[25,38,75,89,149,173],"networks.":[28,78],"Existing":[29],"network":[31,110,177],"methods":[33,55],"only":[34],"nodes,":[39],"are":[41],"unable":[42],"capture":[44],"affinities":[47,183],"between":[48,133,184],"nodes":[49,63,122,151,185],"and":[50,64,123,129,152,181,186,207,217],"attributes.":[51],"Moreover,":[52],"existing":[53],"co-embedding":[54,87],"that":[56,197],"static":[59,206,216],"embeddings":[60,74,148],"both":[62,150],"attributes":[65,124,153,187],"cannot":[66],"be":[67,179,189],"naturally":[68],"utilized":[69],"obtain":[71],"their":[72,156],"To":[79],"address":[80],"these":[81],"issues,":[82],"propose":[84],"model":[88,102,143,199],"networks":[92,195],"(DCTANs)":[93],"based":[94,154],"on":[95,155,193],"stochastic":[98],"state-space":[99],"framework.":[100],"Our":[101,142],"captures":[103],"dynamics":[105],"a":[107],"by":[111],"modeling":[112],"abstract":[114,135],"belief":[115,157],"states":[116,136,158],"representing":[117],"condition":[119],"current":[126],"step,":[128],"predicting":[130,174],"transitions":[132],"two":[138],"successive":[139],"steps.":[141],"able":[145],"at":[159],"each":[160],"step":[162],"network,":[167],"while":[168],"state":[170],"transition":[171],"tendency":[172],"future":[176],"can":[178,188],"tracked":[180],"preserved.":[190],"Experimental":[191],"results":[192],"real-world":[194],"demonstrate":[196],"our":[198],"achieves":[200],"substantial":[201],"performance":[202],"gains":[203],"in":[204],"several":[205],"graph":[209],"mining":[210],"applications":[211],"compared":[212],"state-of-the-art":[215],"models.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}